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As part of Data Civilizer we are designing abstractions and building tools and systems to help people with their data-related tasks, from discovering, to cleaning, to transforming it. The aim is to shape the data in a way that is easy to analyzer---for example to fit a model or fill in a report.

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The goal of the project is to make database management systems resilient to workload variations (e.g., load spikes due to news events) by enabling them to automatically expand and contract the size of the database cluster and balance load across servers.